Using the principal component analysis to assess some properties of agro-gray soil and bonitet

To understand all the structural complexity of soil fertility, one can use the principal component analysis of factor analysis. Factor analysis, with all its shortcomings to identify structural relationships between variables, can be used to understand the complexity of soil fertility, by some assum...

Full description

Saved in:
Bibliographic Details
Published in:IOP conference series. Earth and environmental science 2021-03, Vol.699 (1), p.12016
Main Authors: Ruchkina, A, Ushakov, R, Zaharova, O
Format: Article
Language:English
Subjects:
Acidic soils
Acidity
Agrochemicals
Complexity
Decomposing organic matter
Dispersion
Factor analysis
Humus
Phosphorus
Potassium
Principal components analysis
Soil fertility
Soil properties
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:To understand all the structural complexity of soil fertility, one can use the principal component analysis of factor analysis. Factor analysis, with all its shortcomings to identify structural relationships between variables, can be used to understand the complexity of soil fertility, by some assumptions. It can be estimated through bonitet. The work was carried out on the basis of materials from an agrochemical survey of agro-gray soils. Exchangeable acidity, mobile forms of phosphorus and potassium, humus, the sum of exchangeable bases and bonitet calculated in accordance with them were analyzed. The sample number was 68. Group 0 included bonitet with values less than 90 units and group 1 had bonitet with values more than 90 units. It was found that the contribution of exchangeable acidity and phosphorus to the first main component, which accounted for about 39% of the total dispersion, was maximum and equal to 0.7 and 0.84 units, respectively. Humus and potassium were positively associated with the second component (29% of dispersion) and their contribution was 0.7 and 0.81 units, respectively.
ISSN:1755-1307
1755-1315
DOI:10.1088/1755-1315/699/1/012016